
Model Selection in R
Ended Mar 31, 2020
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Full course description
Term: Spring 2020
Date: March 31st, 2020
Time: 4:30pm -6:30pm
Location: ONLINE ONLY
Instructors: Kate Miller, Frances McCarty, & Jennifer Van Mullekom
Presented By: Statistical Applications & Innovations Group (SAIG)
Zoom: https://virginiatech.zoom.us/j/384530950
Description:
Regression is one of the most commonly used statistical methods – but things can quickly get complicated when you have multiple predictors. In the SAIG Short Course Model Selection in R, we will cover different methods to evaluate different regression models with different sets of predictors.